In [1]} Isola et al. evaluate three different variations of the neural network discriminator architecture. The three variations are achieved by varying the patch size N of the discriminator receptive fields from a \(1\times 1\)  PixelGAN, to an \(N \times N\)  PatchGAN and finally to an \(M \times M\)  ImageGAN. In the latter case, M denotes the total number of pixels in the whole image patch.
Since we work with fairly small image patches of the processed Sentinel-1A dataset, see Sec. REF , we decide to settle for the following three discriminator networks:
